Researcher at Technical University Munich Publishes Research inArtificial Intel ligence (CFD and Artificial Intelligence-Based Machine Learning Synergy for the Assessment of Syngas-Utilizing Pre- Reformer in r-SOC Technology Advancement)

慕尼黑工业大学研究员发表研究报告人工智能（CFD和基于人工智能的机器学习协同用于评估R-SoC技术进步中使用合成气的预重整器）

Robotics & Machine Learning Daily News2024，Issue(Nov.25) ：32-32.

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Researcher at Technical University Munich Publishes Research inArtificial Intel ligence (CFD and Artificial Intelligence-Based Machine Learning Synergy for the Assessment of Syngas-Utilizing Pre- Reformer in r-SOC Technology Advancement)

慕尼黑工业大学研究员发表研究报告人工智能（CFD和基于人工智能的机器学习协同用于评估R-SoC技术进步中使用合成气的预重整器）

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据新闻报道由NewsRx记者从慕尼黑技术大学发起，研究称：“这项研究演示了计算流体力学(CFD)与人工智能相结合的显著优点基于智能(ai)的(ML)可逆固相磷重整过程优化氧化物电池(r-SOC)技术》。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Technical Un iversity Munich by NewsRx correspondents, research stated, “This studydemonstra tes the significant advantages of integrating computational fluid dynamics (CFD) with artificialintelligence (AI)-based machine learning (ML) to optimize the p re-reforming process for reversible solidoxide cell (r-SOC) technologies.”

Key words

Technical University Munich/Artificial Intelligence/Computational Fluid Dynamics/Cyborgs/Emerging Technologies/Flui d Mechanics/Machine Learning/Technology

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出版年

2024

Robotics & Machine Learning Daily News

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